Title
Attack Patterns Discovery by Frequent Episodes Mining from Honeypot Systems
Abstract
The type of Probe/Exploit (hacking) intrusion can be regarded as a series of relevant actions that are occurred in some sequence. In frequent episodes mining, data is viewed as a sequence of events, where each event has an associated time of occurrence. So the mining technique has significant effect on discovering sophisticated Probe/Exploit intrusion attacks. Prior to deadly attacks to the victim computers, hackers must gather information about the victims and transfer instructions or files to the victims. The proposed method can be used to discover such abnormal episodes from the log files of honeypot systems. The proposed method can be applied to discover known or unknown attack episodes for any network services. In this paper, we focus on discovering attack episodes for SMB (Server Message Block) protocol, which is the most important one for Microsoft's Windows Network. In the experiment, we successfully mined out a sophisticated intrusion episode. The proposed method can easily be modified to protect other network services.
Year
DOI
Venue
2009
10.1007/978-3-642-02617-1_31
ISA
Keywords
Field
DocType
frequent episodes mining,sophisticated probe,sophisticated intrusion episode,attack episode,intrusion attack,unknown attack episode,attack patterns discovery,honeypot systems,mining technique,network service,deadly attack,network security
Server Message Block,Honeypot,Attack patterns,Intrusion,Computer science,Computer security,Network security,Hacker,Exploit
Conference
Volume
ISSN
Citations 
5576
0302-9743
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Ming-Yang Su136222.26
Kai-Chi Chang2162.94
Chun-Yuen Lin3413.71